Items where Author is "Gaber, Mohamed Medhat"

Article

Chughtai, Suhaib and Senousy, Zakaria and Mahany, Ahmed and Elmitwally, Nouh and Ismail, Khalid N. and Gaber, Mohamed Medhat and Abdelsamea, Mohammed M. (2024) DeepCon: Unleashing the Power of Divide and Conquer Deep Learning for Colorectal Cancer Classification. IEEE Open Journal of the Computer Society. ISSN 2644-1268 (In Press)

Zidan, Usama and Desouky, Hamdy A. El and Gaber, Mohamed Medhat and Abdelsamea, Mohammed M. (2023) From Pixels to Deposits: Porphyry Mineralization With Multispectral Convolutional Neural Networks. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 16. pp. 9259-9271. ISSN 1939-1404

Al-Turki, Dhoyazan and Kyriakou, Marios and Basurra, Shadi and Gaber, Mohamed Medhat and Abdelsamea, Mohammed M. (2023) The power of progressive active learning in floorplan images for energy assessment. Scientific Reports, 13 (1). ISSN 2045-2322

Chambers, Lorraine and Gaber, Mohamed Medhat and Ghomeshi, Hossein (2023) AdaDeepStream: streaming adaptation to concept evolution in deep neural networks. Applied Intelligence. ISSN 0924-669X

Buczek, Patryk and Zidan, Usama and Gaber, Mohamed Medhat and Abdelsamea, Mohammed M. (2023) Idecomp: imbalance-aware decomposition for class-decomposed classification using conditional GANs. Discover Artificial Intelligence, 3 (1). ISSN 2731-0809

Senousy, Zakaria and Gaber, Mohamed Medhat and Abdelsamea, Mohammed M. (2023) AUQantO: Actionable Uncertainty Quantification Optimization in deep learning architectures for medical image classification. Applied Soft Computing, 146. p. 110666. ISSN 1568-4946

Alhalabi, Besher and Basurra, Shadi and Gaber, Mohamed Medhat (2023) FedNets: Federated Learning on Edge Devices Using Ensembles of Pruned Deep Neural Networks. IEEE Access, 11. pp. 30726-30738. ISSN 2169-3536

Hettiarachchi, Hansi and Adedoyin-Olowe, Mariam and Bhogal, Jagdev and Gaber, Mohamed Medhat (2023) TTL: transformer-based two-phase transfer learning for cross-lingual news event detection. International Journal of Machine Learning and Cybernetics. ISSN 1868-8071

Abdelsamea, Mohammed M. and Gaber, Mohamed Medhat and Ali, Aliyuda and Kyriakou, Marios and Fawki, Shams (2023) A logarithmically amortising temperature effect for supervised learning of wheat solar disinfestation of rice weevil Sitophilus oryzae (Coleoptera: Curculionidae) using plastic bags. Scientific Reports, 13. p. 2655. ISSN 2045-2322

Hettiarachchi, Hansi and Adedoyin-Olowe, Mariam and Bhogal, Jagdev and Gaber, Mohamed Medhat (2023) WhatsUp: An event resolution approach for co-occurring events in social media. Information Sciences, 625. pp. 553-577. ISSN 0020-0255

Zidan, Usama and Gaber, Mohamed Medhat and Abdelsamea, Mohammed M. (2022) SwinCup: Cascaded swin transformer for histopathological structures segmentation in colorectal cancer. Expert Systems with Applications, 216. p. 119452. ISSN 0957-4174

Elaziz, Mohamed Abd and Dahou, Abdelghani and El-Sappagh, Shaker and Mabrouk, Alhassan and Gaber, Mohamed Medhat (2022) AHA-AO: Artificial Hummingbird Algorithm with Aquila Optimization for Efficient Feature Selection in Medical Image Classification. Applied Sciences, 12 (19). p. 9710. ISSN 2076-3417

White, Luke and Basuura, Shadi and Gaber, Mohamed Medhat and Alsewari, AbdulRahman and Saeed, Faisal and Addanki, Sudhamshu Mohan (2022) Agent-Based Simulations Using Genetic Algorithm Calibration: A Children's Services Application. IEEE Access, 10. 88386 -88397. ISSN 2169-3536

Abdelsamea, Mohammed M. and Zidan, Usama and Senousy, Zakaria and Gaber, Mohamed Medhat and Rakha, Emad and Ilyas, Mohammad (2022) A survey on artificial intelligence in histopathology image analysis. WIREs Data Mining and Knowledge Discovery, 12 (6). e1474. ISSN 1942-4787

Hanga, Khadijah and Kovalchuk, Yevgeniya and Gaber, Mohamed Medhat (2022) PGraphD*: Methods for Drift Detection and Localisation Using Deep Learning Modelling of Business Processes. Entropy, 24 (7). ISSN 1099-4300

Hettiarachchi, Hansi and Adedoyin-Olowe, Mariam and Bhogal, Jagdev and Gaber, Mohamed Medhat (2022) TED-S: Twitter Event Data in Sports and Politics with Aggregated Sentiments. Data, 7 (7). pp. 90-106. ISSN 2306-5729

Dridi, Amna and Gaber, Mohamed Medhat and Azad, Raja Muhammad Atif and Bhogal, Jagdev (2022) Vec2Dynamics: A Temporal Word Embedding Approach to Exploring the Dynamics of Scientific Keywords—Machine Learning as a Case Study. Big Data and Cognitive Computing, 6 (1). p. 21. ISSN 2504-2289

Mahmood, Haitham and Wu, Wenyan and Gaber, Mohamed Medhat (2022) A Time-Series Self-Supervised Learning Approach to Detection of Cyber-physical Attacks in Water Distribution Systems. Energies, 15 (3). ISSN 1996-1073

Rakha, Ahmed and Hettiarachchi, Hansi and Rady, Dina and Gaber, Mohamed Medhat and Rakha, Emad and Abdelsamea, Mohammed M. (2021) Predicting the Economic Impact of the COVID-19 Pandemic in the United Kingdom Using Time-Series Mining. Economies, 9 (4). e137. ISSN 2227-7099

Senousy, Zakaria and Abdelsamea, Mohammed M. and Gaber, Mohamed Medhat and Abdar, Moloud and Acharya, Rajendra U. and Khosravi, Abbas and Nahavandi, Saeid (2021) MCUa: Multi-level Context and Uncertainty aware Dynamic Deep Ensemble for Breast Cancer Histology Image Classification. IEEE Transactions on Biomedical Engineering. ISSN 0018-9294

Abbas, Asmaa and Abdelsamea, Mohammed M. and Gaber, Mohamed Medhat (2021) 4S-DT: Self-Supervised Super Sample Decomposition for Transfer Learning With Application to COVID-19 Detection. IEEE Transactions on Neural Networks and Learning Systems, 32 (7). pp. 2798-2808. ISSN 2162-237X

Hettiarachchi, Hansi and Adedoyin-Olowe, Mariam and Bhogal, Jagdev and Gaber, Mohamed Medhat (2021) Embed2Detect: temporally clustered embedded words for event detection in social media. Machine Learning. ISSN 0885-6125

Senousy, Zakaria and Abdelsamea, Mohammed M. and Mohamed, Mona Mostafa and Gaber, Mohamed Medhat (2021) 3E-Net: Entropy-Based Elastic Ensemble of Deep Convolutional Neural Networks for Grading of Invasive Breast Carcinoma Histopathological Microscopic Images. Entropy, 23 (5). e620. ISSN 1099-4300

Hatwell, Julian and Gaber, Mohamed Medhat and Azad, R. Muhammad Atif (2021) gbt-HIPS: Explaining the Classifications of Gradient Boosted Tree Ensembles. Applied Sciences, 11 (6). p. 2511. ISSN 2076-3417

Stahl, Frederic and Le, Thien and Badii, Atta and Gaber, Mohamed Medhat (2021) A Frequent Pattern Conjunction Heuristic for Rule Generation in Data Streams. Information, 12 (1). e24. ISSN 2078-2489

Hatwell, Julian and Gaber, Mohamed Medhat and Azad, R. Muhammad Atif (2020) Ada-WHIPS: explaining AdaBoost classification with applications in the health sciences. BMC Medical Informatics and Decision Making, 20. ISSN 1472-6947

Hanga, Khadijah and Kovalchuk, Yevgeniya and Gaber, Mohamed Medhat (2020) A Graph-based Approach to Interpreting Recurrent Neural Networks in Process Mining. IEEE ACCESS, 8. pp. 172923-172938. ISSN 2169-3536

Abbas, Asmaa and Abdelsamea, Mohammed M. and Gaber, Mohamed Medhat (2020) Classification of COVID-19 in chest X-ray images using DeTraC deep convolutional neural network. Applied Intelligence. ISSN 0924-669X

Abdallah, Zahraa S. and Gaber, Mohamed Medhat (2020) Co-eye: A multi-resolution ensemble classifier for Symbolically Approximated Time Series. Machine Learning. ISSN 1573-0565

Hatwell, Julian and Gaber, Mohamed Medhat and Azad, R. Muhammad Atif (2020) CHIRPS: Explaining random forest classification. Artificial Intelligence Review. ISSN 0269-2821

Abbas, Asmaa and Abdelsamea, Mohammed M. and Gaber, Mohamed Medhat (2020) DeTraC: Transfer Learning of Class Decomposed Medical Images in Convolutional Neural Networks. IEEE Access, 8. pp. 74901-74913. ISSN 2169-3536

Fawagreh, Khaled and Gaber, Mohamed Medhat (2020) Resource-efficient fast prediction in healthcare data analytics: A pruned Random Forest regression approach. Computing. ISSN 0010-485X

Dridi, Amna and Gaber, Mohamed Medhat and Azad, R. Muhammad Atif and Bhogal, Jagdev (2019) Leap2Trend: A Temporal Word Embedding Approach for Instant Detection of Emerging Scientific Trends. IEEE Access, 7. p. 1. ISSN 2169-3536

Ghomeshi, Hossein and Gaber, Mohamed Medhat and Kovalchuk, Yevgeniya (2019) RED-GENE: An Evolutionary Game Theoretic Approach to Adaptive Data Stream Classification. IEEE Access. p. 1. ISSN 2169-3536

Ghomeshi, Hossein and Gaber, Mohamed Medhat and Kovalchuk, Yevgeniya (2019) A Non-Canonical Hybrid Metaheuristic Approach to Adaptive Data Stream Classification. Future Generation Computer Systems, 102 (Jan). pp. 127-139. ISSN 0167-739X

Ghomeshi, Hossein and Gaber, Mohamed Medhat and Kovalchuk, Yevgeniya (2019) EACD: evolutionary adaptation to concept drifts in data streams. Data Mining and Knowledge Discovery, 33 (3). pp. 663-694. ISSN 1384-5810

Abdallah, Fatima and Basurra, Shadi and Gaber, Mohamed Medhat (2018) A Non-intrusive Heuristic for Energy Messaging Intervention Modelled using a Novel Agent-based Approach. IEEE Access, 7. pp. 1627-1646. ISSN 2169-3536

Gaber, Mohamed Medhat and Aneiba, Adel and Basurra, Shadi and Batty, Oliver and Elmisery, Ahmed and Kovalchuk, Yevgeniya and Rehman, Muhammad Habib (2018) Internet of Things and data mining: From applications to techniques and systems. Wiley Interdisciplinary Reviews: Data Mining and Knowledge Discovery. e1292. ISSN 19424787

Abdallah, Zahraa S. and Gaber, Mohamed Medhat and Srinivasan, Bala and Krishnaswamy, Shonali (2018) Activity Recognition with Evolving Data Streams: A Review. ACM Computing Surveys, 51 (4). pp. 1-36. ISSN 0360-0300

Demaidi, Mona Nabil and Gaber, Mohamed Medhat and Filer, Nick (2018) OntoPeFeGe: Ontology-based Personalised Feedback Generator. IEEE Access. pp. 1-20. ISSN 2169-3536

Abdallah, Fatima and Basurra, Shadi and Gaber, Mohamed Medhat (2018) A Hybrid Agent-Based and Probabilistic Model for Fine-grained Behavioural Energy Waste Simulation. 2017 IEEE 29th International Conference on Tools with Artificial Intelligence (ICTAI). ISSN 2375-0197

Hussein, Ahmed and Elyan, Eyad and Gaber, Mohamed Medhat and Jayne, Chrisina (2017) Deep Imitation Learning for 3D Navigation Tasks. Neural Computing and Applications. pp. 1-16. ISSN 0941-0643

Demaidi, Mona and Gaber, Mohamed Medhat and Filer, Nick (2017) Evaluating the quality of the ontology-based auto-generated questions. Smart Learning Environments, 4 (7). ISSN 2196-7091

Rehman, Muhammad Habib and Jayaraman, Prem Prakash and Malik, Saif ur Rehman and Khan, Atta ur Rehman and Gaber, Mohamed Medhat (2017) RedEdge: A Novel Architecture for Big Data Processing in Mobile Edge Computing Environments. Journal of Sensor and Actuator Networks, 6 (3). ISSN 2224-2708)

Hussein, A. and Elyan, Eyad and Gaber, Mohamed Medhat and Jayne, C. (2017) Deep Reward Shaping from Demonstrations. 2017 International Joint Conference on Neural Networks (IJCNN). ISSN 2161-4407

Le, T. and Stahl, Frederic and Gaber, Mohamed Medhat and Gomes, J.B. and Di Fattaa, G. (2017) On Expressiveness and Uncertainty Awareness in Rule-based Classification for Data Streams. Neurocomputing, 265. pp. 127-141. ISSN 0925-2312

Hussein, Ahmed and Gaber, Mohamed Medhat and Elyan, Eyad and Jayne, C. (2017) Imitation Learning: A Survey of Learning Methods. ACM Computing Surveys (CSUR), 50 (2). ISSN 0360-0300

Haidar, Diana and Gaber, Mohamed Medhat (2017) Outlier Detection in Random Subspaces over Data Streams: An Approach for Insider Threat Detection. The Specialist Group on Artificial Intelligence Expert Update, 17 (2). ISSN 1465 4091

Elyan, Eyad and Gaber, Mohamed Medhat (2016) A Fine-Grained Random Forests using Class Decomposition. Neural Computing and Applications, 27 (8). p. 2279. ISSN 0941-0643

Adedoyin-Olowe, Mariam and Gaber, Mohamed Medhat and Dancausa, Carlos and Stahl, Frederic and Bartolo Gomes, Joao (2016) A rule dynamics approach to event detection in Twitter with its application to sports and politics. Expert Systems With Applications, 55. pp. 351-360. ISSN 0957-4174

Elyan, Eyad and Gaber, Mohamed Medhat (2016) A genetic algorithm approach to optimising random forests applied to class engineered data. Information Sciences, 384. pp. 220-234. ISSN 0020-0255

Abdallah, Zahraa S. and Gaber, Mohamed Medhat and Srinivasan, Bala and Krishnaswamy, Shonali (2016) AnyNovel: detection of novel concepts in evolving data streams: An application for activity recognition. Evolving Systems, 7 (2). p. 73. ISSN 1868-6478

Abdelsamea, Mohammed M. and Gnecco, Giorgio and Gaber, Mohamed Medhat (2015) A SOM-based Chan–Vese model for unsupervised image segmentation. Soft Computing. pp. 1-21. ISSN 1432-7643

Abdelsamea, Mohammed M. and Gnecco, Giorgio and Gaber, Mohamed Medhat (2015) An efficient Self-Organizing Active Contour model for image segmentation. Neurocomputing, 149 (B). pp. 820-835. ISSN 0925-2312

Abdallah, Zahraa S. and Gaber, Mohamed Medhat and Srinivasan, Bala and Krishnaswamy, Shonali (2014) Adaptive mobile activity recognition system with evolving data streams. Neurocomputing, 150 (A). pp. 304-317. ISSN 0925-2312

Stahl, Frederic and Gaber, Mohamed Medhat and Adedoyin-Olowe, Mariam (2014) A Survey of Data Mining Techniques for Social Network Analysis. Journal of Data Mining and Digital Humanities, 18.

Book Section

Abdallah, Fatima and Basurra, Shadi and Gaber, Mohamed Medhat (2018) Cascading Probability Distributions in Agent-Based Models: An Application to Behavioural Energy Wastage. In: Artificial Intelligence and Soft Computing. ICAISC 2018. Lecture Notes in Computer Science . Springer, pp. 489-503. ISBN 978-3-319-91261-5

Haidar, Diana and Gaber, Mohamed Medhat (2018) Data Stream Clustering for Real-Time Anomaly Detection: An Application to Insider Threats. In: Clustering Methods for Big Data Analytics. Springer, pp. 115-144.

Ghomeshi, Hossein and Gaber, Mohamed Medhat and Kovalchuk, Yevgeniya (2018) Ensemble Dynamics in Non-stationary Data Stream Classification. In: Learning from Data Streams in Evolving Environments. Springer, pp. 123-153.

Adedoyin-Olowe, Mariam and Gaber, Mohamed Medhat and Stahl, Frederic and Gomes, J.B. (2015) Autonomic Discovery of News Evolvement in Twitter. In: Big Data in Complex Systems: Challenges & Opportunities. Studies in Big Data, 9 . Springer, pp. 205-229. ISBN 978-3-319-11055-4

Adedoyin-Olowe, Mariam and Gaber, Mohamed Medhat and Dancausa, Carlos and Stahl, Frederic (2014) Extraction of unexpected rules from Twitter hashtags and its application to sports events. In: Proceedings of 13th International Conference on Machine Learning and Applications. IEEE, pp. 207-212.

Conference or Workshop Item

Hayes, John and Aneiba, Adel and Gaber, Mohamed Medhat and Abozariba, Raouf (2023) FBA-SDN: A Federated Byzantine Approach for Blockchain-based Collaborative Intrusion Detection in Edge SDN. In: IEEE International Conference on Communications, 28th May - 1st June 2023, Rome, Italy.

Hayes, John and Aneiba, Adel and Gaber, Mohamed Medhat (2023) SymbIoT: Towards An Extensible Blockchain Integration Testbed for IIoT. In: IIoT-NETs '23: 1st Workshop on Enhanced Network Techniques and Technologies for the Industrial IoT to Cloud Continuum, 10th Sept 2023, NY, New York, USA.

Hettiarachchi, Hansi and Adedoyin-Olowe, Mariam and Bhogal, Jagdev and Gaber, Mohamed Medhat (2021) DAAI at CASE 2021 Task 1: Transformer-based Multilingual Socio-political and Crisis Event Detection. In: 4th Workshop on Challenges and Applications of Automated Extraction of Socio-political Events from Text (CASE 2021), 1st August 2021, Online.

Dridi, Amna and Gaber, Mohamed Medhat and Azad, R. Muhammad Atif and Bhogal, Jagdev (2019) DeepHist: Towards a Deep Learning-based Computational History of Trends in the NIPS. In: The 2019 International Joint Conference on Neural Networks (IJCNN), July 14-19, 2019, Budapest, Hungary.

Alhalabi, Besher and Gaber, Mohamed Medhat and Basurra, Shadi (2019) EnSyth: A Pruning Approach to Synthesis of Deep Learning Ensembles. In: IEEE International Conference on Systems, Man, and Cybernetics (IEEE SMC 2019), 06-09 October, 2019, Bari, Italy.

Haidar, Diana and Gaber, Mohamed Medhat (2018) Adaptive One-Class Ensemble-based Anomaly Detection: An Application to Insider Threats. In: 2018 International Joint Conference on Neural Networks (IJCNN), 8-13 July 2018, Rio de Janeiro, Brazil.

Abdallah, Fatima and Basurra, Shadi and Gaber, Mohamed Medhat (2018) An Agent-based Collective Model to Simulate Peer Pressure Effect on Energy Consumption. In: 10th International Conference on Computational Collective Intelligence (ICCCI 2018), 5-7 September 2018, Bristol, UK.

Dridi, Amna and Gaber, Mohamed Medhat and Azad, R. Muhammad Atif and Bhogal, Jagdev (2018) k-NN Embedding Stability for word2vec Hyper-Parametrisation in Scientific Text. In: Discovery Science, October 29–31, 2018, Limassol, Cyprus.